
TopAI.tools
Futurepedia.io
There's An AI For That
aitools.fyi
Toolify.ai
FutureTools.io
ChatGPT
SaaS AI Tools
GitHub
GitLab
BitBucket
VS Code
Git
Treehouse
Pantheon
CodePen
TopAI.tools is the AI tools discovery platform - built for every way someone might be looking for AI tools. Whether you browse daily to keep up with the space, search by describing a task you need to get done, follow a category and how it evolves, find alternatives to a tool you already use, or build Stacks for your role and workflow, the platform covers every angle of discovery. For task-based searches, an AI overview recommends the best-fit tools and breaks the task into related steps, each matched to a specific tool; alongside a full results set to explore. Playbooks provide step-by-step guides showing exactly how to use specific tools to complete real tasks and produce concrete outputs. The platform also includes tool alternatives, side-by-side comparisons, curated Stacks, Verified Listings, and Deals.
Thousands of AI tools across specialized categories, updated daily. Free to use.
TopAI.tools
GitHubGitHub is an essential platform for modern software development. It makes it easy to host, manage, and collaborate on code while providing powerful tools for version control, project management, and team collaboration. Its large open-source community is another major strength, offering developers access to countless projects, resources, and opportunities to learn. Overall, GitHub is a reliable and professional platform that has become a fundamental part of the developer ecosystem.
Based on our record, GitHub seems to be a lot more popular than TopAI.tools. While we know about 2476 links to GitHub, we've tracked only 29 mentions of TopAI.tools. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Navigating the ever-evolving world of AI tools, Top Ai tools helps users streamline tasks, enhance creativity, and achieve goals efficiently through its curated collections and user-friendly interface. - Source: dev.to / over 2 years ago
Chatgpt,Bing or bard. You can also find scientific tools at https://topai.tools. Source: about 3 years ago
That's true, very hard to get everything on one slide. Here is another useful resource https://topai.tools. Source: about 3 years ago
Looking nice but missing many good tools in several categories as many are being launched everyday. I look at https://topai.tools and https://favird.com/l/ai-tools-and-applications as samples. Source: about 3 years ago
Here is another one https://topai.tools. Source: about 3 years ago
"""Clones a single branch of a GitHub repository into a temporary directory for local scanning.""" Import logging Import shutil Import subprocess Import tempfile Logger = logging.getLogger(__name__) Class RepoFetchError(RuntimeError): """Raised when the target repository/branch cannot be cloned.""" Class RepoFetcher: """Shallow-clones a single branch of a repository so its tests can be scanned... - Source: dev.to / 6 days ago
# video-meta.yml Topic: > Walking through how we cut cold-start time on a Lambda-backed GraphQL API from 2.4s to under 400ms, including the two things that didn't work. Target_keyword: lambda cold start optimization Audience: backend devs who already ship serverless, not beginners Model_channels: - the three channels currently ranking for this keyword Links: repo: https://github.com/... slides:... - Source: dev.to / 7 days ago
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 12 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 19 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 20 days ago
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